33 citations · 57 across the 6 of their papers we have counts for
7 papers
Hardware Implementation of a Zero-Prior-Knowledge Approach to Lifelong Learning in Kinematic Control of Tendon-Driven Quadrupeds
Hesam Azadjou, Suraj Chakravarthi Raja, Ali Marjaninejad +1
Like mammals, robots must rapidly learn to control their bodies and interact with their environment despite incomplete knowledge of their body structure and surroundings. They must…
The Bundles of Intercrossing Fibers of the Extensor Mechanism of the Fingers Greatly Influence the Transmission of Muscle Forces
Anton Dogadov, Francisco J Valero-Cuevas, Christine Serviere +1
The extensor mechanism is a tendinous structure that plays an important role in finger function. It transmits forces from several intrinsic and extrinsic muscles to multiple bony a…
Brain-Body-Task Co-Adaptation can Improve Autonomous Learning and Speed of Bipedal Walking
Darío Urbina-Meléndez, Hesam Azadjou, Francisco J. Valero-Cuevas
Inspired by animals that co-adapt their brain and body to interact with the environment, we present a tendon-driven and over-actuated (i.e., n joint, n+1 actuators) bipedal robot t…
Physiological Tremor Increases when Skeletal Muscle is Shortened: Implications for Fusimotor Control
Kian Jalaleddini, Akira Nagamori, Christopher M Laine +3
The involuntary force fluctuations associated with physiological (as distinct from pathological) tremor are an unavoidable component of human motor control. While the origins of th…
On Neuromechanical Approaches for the Study of Biological Grasp and Manipulation
Francisco J Valero-Cuevas, Marco Santello
Biological and robotic grasp and manipulation are undeniably similar at the level of mechanical task performance. However, their underlying fundamental biological vs. engineering m…
Slow Limb Movements Require Precise Control of Muscle Stiffness
Sarine Babikian, Francisco J. Valero-Cuevas, Eva Kanso
Slow and accurate finger and limb movements are essential to daily activities, but their neural control and governing mechanics are relatively unexplored. We consider neuromechanic…
Estimating degrees of freedom in motor systems
Robert H. Clewley, John M. Guckenheimer, Francisco J. Valero-Cuevas
Studies of the degrees of freedom or "synergies" in musculoskeletal systems rely critically on algorithms to estimate the "dimension" of kinematic or neural data. Linear algorithms…